Identification of Candidate Genes Associated with Chemotherapy Resistance in Ovarian Cancer.

Ovarian cancer is the leading cause of death due to malignant tumors in female reproductive organs. However, the lack of understanding regarding its pathogenesis brings difficulties to study it. In this study, we analyze the differently expressed genes in both GSE54388 (ovarian cancer vs. normal ovarian tissues) and GSE51373 (chemotherapy-resistant vs. chemotherapy-sensitive tissues). By intersecting the differently expressed genes, 79 genes were identified. Then, further function enrichment analysis, including GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis, was performed. Also, a protein-protein network analysis was conducted to reveal the potential relationship between genes. Finally, survival analysis was utilized to find out that FOXL2 (Forkhead Box L2), TIMP3 (TIMP Metallopeptidase Inhibitor 3), and ZEB1 (Zinc Finger E-Box Binding Homeobox 1) may serve as biomarkers for predicting the prognosis of ovarian cancer patients.